Kersting, Kristian (2024)
Editorial: Rethinking Computer Science Through AI.
In: KI - Künstliche Intelligenz : German Journal of Artificial Intelligence, 2020, 34 (4)
doi: 10.26083/tuprints-00024015
Artikel, Zweitveröffentlichung, Verlagsversion
 | Es ist eine neuere Version dieses Eintrags verfügbar. |
Kurzbeschreibung (Abstract)
Most of artificial intelligence (AI) in use today falls under the categories of the first two waves of AI research. First wave AI systems follow clear rules, written by programmer, aiming to cover every eventuality. Second wave AI systems are the kind that use statistical learning to arrive at an answer for a certain type of problem. Think of image classification system. The third wave of AI envisions a future in which AI systems are more than just tools that execute human programmed rules or generalize from human-curated data sets. The systems will function as partners rather than as tools. They can acquire human-like communication and reasoning capabilities, with the ability to recognize new situations and to adapt to them. For example, a third wave AI system might note that a speed limit of 120 km/h does not make sense when entering a small village by car.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Kersting, Kristian |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Editorial: Rethinking Computer Science Through AI |
| Sprache: | Englisch |
| Publikationsjahr: | 26 April 2024 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | Dezember 2020 |
| Ort der Erstveröffentlichung: | Berlin |
| Verlag: | Springer |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | KI - Künstliche Intelligenz : German Journal of Artificial Intelligence |
| Jahrgang/Volume einer Zeitschrift: | 34 |
| (Heft-)Nummer: | 4 |
| DOI: | 10.26083/tuprints-00024015 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/24015 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (Abstract): | Most of artificial intelligence (AI) in use today falls under the categories of the first two waves of AI research. First wave AI systems follow clear rules, written by programmer, aiming to cover every eventuality. Second wave AI systems are the kind that use statistical learning to arrive at an answer for a certain type of problem. Think of image classification system. The third wave of AI envisions a future in which AI systems are more than just tools that execute human programmed rules or generalize from human-curated data sets. The systems will function as partners rather than as tools. They can acquire human-like communication and reasoning capabilities, with the ability to recognize new situations and to adapt to them. For example, a third wave AI system might note that a speed limit of 120 km/h does not make sense when entering a small village by car. |
| Freie Schlagworte: | Artificial Intelligence, Software Engineering/Programming and Operating Systems |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-240152 |
| Zusätzliche Informationen: | Special Issue: Ontologies and Data Management -- Part II |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Künstliche Intelligenz und Maschinelles Lernen Zentrale Einrichtungen Zentrale Einrichtungen > Centre for Cognitive Science (CCS) |
| Hinterlegungsdatum: | 26 Apr 2024 12:35 |
| Letzte Änderung: | 26 Apr 2024 19:29 |
| PPN: | |
| Zugehörige Links: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
Verfügbare Versionen dieses Eintrags
- Editorial: Rethinking Computer Science Through AI. (deposited 26 Apr 2024 12:35) [Gegenwärtig angezeigt]
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum